AI • Agents • RAG

Hi, I’m Solomon:

AI Developer and Workflow Architect.

I build intelligent, production-ready systems that think, retrieve, and act. My focus is on modular agents, RAG pipelines, and scalable data workflows for real-world deployment. I specialize in agentic architectures that integrate APIs, vector search, and semantic memory, designed for clarity and scale.

LangChain • LangGraph • Python • PySpark • OpenAI • Gemini • Pinecone • Chroma • SQL • TensorFlow • scikit-learn • Power BI • Tableau

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Resume

Experience

Architect modular AI agents using LangChain, LangGraph, and custom Python tooling.
Build scalable LLM pipelines integrating OpenAI, Gemini, Pinecone, and Chroma for semantic search and RAG.
Deliver one-on-one onboarding and technical courses in LLMs, agentic AI, and RAG workflows.
Translate cutting-edge AI research into practical solutions with strong evaluation and logging.

Deployed LLM applications and agentic systems to automate clinical workflows.
Designed prompt engineering and RAG pipelines for decision support.
Integrated generative models with secure APIs and cloud infrastructure.

Developed NLP solutions for sentiment and service quality analysis.
Built predictive mortgage risk models using scikit-learn and TensorFlow.

Engineered rule-based automation for ETO workflows (.NET, SQL Server).
Built modular components for product configuration and business rules.

Built credit risk models and statistical analyses.
Designed ETL workflows and SQL Server data warehouses.

Education

MS, Mathematics — Indiana State University (Aug 2022)
BA, Mathematics — Southern New Hampshire University (Aug 2020)
AS, Software Engineering — Dallas College (Dec 2017)

Skills

LangChain LangGraph RAG OpenAI Gemini Pinecone Chroma Python PySpark SQL TensorFlow scikit-learn Power BI Tableau

Certifications

MCSD: App Builder (2021)
MCSE: Data Management & Analytics (2020)
Tableau Desktop (2020)

Blog

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